Particularly, the game theoretic control is a promising new approach to the distributed control of multi-agent systems. In [1]} the consensus of multi-agent systems is investigated.
[2]} describes a solution framework for multi-agent control problem using game theory. Non-cooperative dynamic game theory provides an environment for formulating multi-agent decision control problems using distributed optimization [3]}. Learning is an important tool to realize a global goal for game theoretic approach of multi-agent systems [4]}.
An hourglass architecture was proposed in [2]} to illustrate the game theoretic control using potential games as the interface (refer to Fig. REF ).
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